Bivariate VAR models to test Granger causality between tourist demand and supply: Implications for regional sustainable growth
AbstractThe relationship between tourist demand and supply is investigated employing four time series models. To test for Granger causality a bivariate vector autoregression framework is used. Empirical results from each model are derived for the island of Sardinia (Italy) over the time span 1955 to 2004. The first model suggests supply is demand-driven; the second model implies a bi-directional Granger-causal relationship between demand and capacity. The third and fourth models indicate demand is quality-driven. This empirical finding implies that an environmental conservation policy may be feasible without compromising the number of tourists visiting Sardinia and hence its economic growth. Copyright (c) 2008 the author(s). Journal compilation (c) 2008 RSAI.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Wiley Blackwell in its journal Papers in Regional Science.
Volume (Year): 88 (2009)
Issue (Month): 1 (03)
Contact details of provider:
Web page: http://www.blackwellpublishing.com/journal.asp?ref=1056-8190
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Tiziana Cuccia & Calogero Guccio & Ilde Rizzo, 2013. "Does Unesco inscription affect the performance of tourism destinations? A regional perspective," ACEI Working Paper Series AWP-04-2013, the Association for Cultural Economics International, revised Oct 2013.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F Baum).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.